chore(api/tests): apply ruff reformat #7590 (#7591)

Co-authored-by: -LAN- <laipz8200@outlook.com>
This commit is contained in:
Bowen Liang
2024-08-23 23:52:25 +08:00
committed by GitHub
parent 2da63654e5
commit b035c02f78
155 changed files with 4279 additions and 5925 deletions

View File

@@ -14,26 +14,26 @@ def test_validate_credentials():
with pytest.raises(CredentialsValidateFailedError):
model.validate_credentials(
model='NOT IMPORTANT',
model="NOT IMPORTANT",
credentials={
'api_endpoint_host': 'maas-api.ml-platform-cn-beijing.volces.com',
'volc_region': 'cn-beijing',
'volc_access_key_id': 'INVALID',
'volc_secret_access_key': 'INVALID',
'endpoint_id': 'INVALID',
'base_model_name': 'Doubao-embedding',
}
"api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com",
"volc_region": "cn-beijing",
"volc_access_key_id": "INVALID",
"volc_secret_access_key": "INVALID",
"endpoint_id": "INVALID",
"base_model_name": "Doubao-embedding",
},
)
model.validate_credentials(
model='NOT IMPORTANT',
model="NOT IMPORTANT",
credentials={
'api_endpoint_host': 'maas-api.ml-platform-cn-beijing.volces.com',
'volc_region': 'cn-beijing',
'volc_access_key_id': os.environ.get('VOLC_API_KEY'),
'volc_secret_access_key': os.environ.get('VOLC_SECRET_KEY'),
'endpoint_id': os.environ.get('VOLC_EMBEDDING_ENDPOINT_ID'),
'base_model_name': 'Doubao-embedding',
"api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com",
"volc_region": "cn-beijing",
"volc_access_key_id": os.environ.get("VOLC_API_KEY"),
"volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"),
"endpoint_id": os.environ.get("VOLC_EMBEDDING_ENDPOINT_ID"),
"base_model_name": "Doubao-embedding",
},
)
@@ -42,20 +42,17 @@ def test_invoke_model():
model = VolcengineMaaSTextEmbeddingModel()
result = model.invoke(
model='NOT IMPORTANT',
model="NOT IMPORTANT",
credentials={
'api_endpoint_host': 'maas-api.ml-platform-cn-beijing.volces.com',
'volc_region': 'cn-beijing',
'volc_access_key_id': os.environ.get('VOLC_API_KEY'),
'volc_secret_access_key': os.environ.get('VOLC_SECRET_KEY'),
'endpoint_id': os.environ.get('VOLC_EMBEDDING_ENDPOINT_ID'),
'base_model_name': 'Doubao-embedding',
"api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com",
"volc_region": "cn-beijing",
"volc_access_key_id": os.environ.get("VOLC_API_KEY"),
"volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"),
"endpoint_id": os.environ.get("VOLC_EMBEDDING_ENDPOINT_ID"),
"base_model_name": "Doubao-embedding",
},
texts=[
"hello",
"world"
],
user="abc-123"
texts=["hello", "world"],
user="abc-123",
)
assert isinstance(result, TextEmbeddingResult)
@@ -67,19 +64,16 @@ def test_get_num_tokens():
model = VolcengineMaaSTextEmbeddingModel()
num_tokens = model.get_num_tokens(
model='NOT IMPORTANT',
model="NOT IMPORTANT",
credentials={
'api_endpoint_host': 'maas-api.ml-platform-cn-beijing.volces.com',
'volc_region': 'cn-beijing',
'volc_access_key_id': os.environ.get('VOLC_API_KEY'),
'volc_secret_access_key': os.environ.get('VOLC_SECRET_KEY'),
'endpoint_id': os.environ.get('VOLC_EMBEDDING_ENDPOINT_ID'),
'base_model_name': 'Doubao-embedding',
"api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com",
"volc_region": "cn-beijing",
"volc_access_key_id": os.environ.get("VOLC_API_KEY"),
"volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"),
"endpoint_id": os.environ.get("VOLC_EMBEDDING_ENDPOINT_ID"),
"base_model_name": "Doubao-embedding",
},
texts=[
"hello",
"world"
]
texts=["hello", "world"],
)
assert num_tokens == 2

View File

@@ -14,25 +14,25 @@ def test_validate_credentials_for_chat_model():
with pytest.raises(CredentialsValidateFailedError):
model.validate_credentials(
model='NOT IMPORTANT',
model="NOT IMPORTANT",
credentials={
'api_endpoint_host': 'maas-api.ml-platform-cn-beijing.volces.com',
'volc_region': 'cn-beijing',
'volc_access_key_id': 'INVALID',
'volc_secret_access_key': 'INVALID',
'endpoint_id': 'INVALID',
}
"api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com",
"volc_region": "cn-beijing",
"volc_access_key_id": "INVALID",
"volc_secret_access_key": "INVALID",
"endpoint_id": "INVALID",
},
)
model.validate_credentials(
model='NOT IMPORTANT',
model="NOT IMPORTANT",
credentials={
'api_endpoint_host': 'maas-api.ml-platform-cn-beijing.volces.com',
'volc_region': 'cn-beijing',
'volc_access_key_id': os.environ.get('VOLC_API_KEY'),
'volc_secret_access_key': os.environ.get('VOLC_SECRET_KEY'),
'endpoint_id': os.environ.get('VOLC_MODEL_ENDPOINT_ID'),
}
"api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com",
"volc_region": "cn-beijing",
"volc_access_key_id": os.environ.get("VOLC_API_KEY"),
"volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"),
"endpoint_id": os.environ.get("VOLC_MODEL_ENDPOINT_ID"),
},
)
@@ -40,28 +40,24 @@ def test_invoke_model():
model = VolcengineMaaSLargeLanguageModel()
response = model.invoke(
model='NOT IMPORTANT',
model="NOT IMPORTANT",
credentials={
'api_endpoint_host': 'maas-api.ml-platform-cn-beijing.volces.com',
'volc_region': 'cn-beijing',
'volc_access_key_id': os.environ.get('VOLC_API_KEY'),
'volc_secret_access_key': os.environ.get('VOLC_SECRET_KEY'),
'endpoint_id': os.environ.get('VOLC_MODEL_ENDPOINT_ID'),
'base_model_name': 'Skylark2-pro-4k',
"api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com",
"volc_region": "cn-beijing",
"volc_access_key_id": os.environ.get("VOLC_API_KEY"),
"volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"),
"endpoint_id": os.environ.get("VOLC_MODEL_ENDPOINT_ID"),
"base_model_name": "Skylark2-pro-4k",
},
prompt_messages=[
UserPromptMessage(
content='Hello World!'
)
],
prompt_messages=[UserPromptMessage(content="Hello World!")],
model_parameters={
'temperature': 0.7,
'top_p': 1.0,
'top_k': 1,
"temperature": 0.7,
"top_p": 1.0,
"top_k": 1,
},
stop=['you'],
stop=["you"],
user="abc-123",
stream=False
stream=False,
)
assert isinstance(response, LLMResult)
@@ -73,28 +69,24 @@ def test_invoke_stream_model():
model = VolcengineMaaSLargeLanguageModel()
response = model.invoke(
model='NOT IMPORTANT',
model="NOT IMPORTANT",
credentials={
'api_endpoint_host': 'maas-api.ml-platform-cn-beijing.volces.com',
'volc_region': 'cn-beijing',
'volc_access_key_id': os.environ.get('VOLC_API_KEY'),
'volc_secret_access_key': os.environ.get('VOLC_SECRET_KEY'),
'endpoint_id': os.environ.get('VOLC_MODEL_ENDPOINT_ID'),
'base_model_name': 'Skylark2-pro-4k',
"api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com",
"volc_region": "cn-beijing",
"volc_access_key_id": os.environ.get("VOLC_API_KEY"),
"volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"),
"endpoint_id": os.environ.get("VOLC_MODEL_ENDPOINT_ID"),
"base_model_name": "Skylark2-pro-4k",
},
prompt_messages=[
UserPromptMessage(
content='Hello World!'
)
],
prompt_messages=[UserPromptMessage(content="Hello World!")],
model_parameters={
'temperature': 0.7,
'top_p': 1.0,
'top_k': 1,
"temperature": 0.7,
"top_p": 1.0,
"top_k": 1,
},
stop=['you'],
stop=["you"],
stream=True,
user="abc-123"
user="abc-123",
)
assert isinstance(response, Generator)
@@ -102,29 +94,24 @@ def test_invoke_stream_model():
assert isinstance(chunk, LLMResultChunk)
assert isinstance(chunk.delta, LLMResultChunkDelta)
assert isinstance(chunk.delta.message, AssistantPromptMessage)
assert len(
chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
def test_get_num_tokens():
model = VolcengineMaaSLargeLanguageModel()
response = model.get_num_tokens(
model='NOT IMPORTANT',
model="NOT IMPORTANT",
credentials={
'api_endpoint_host': 'maas-api.ml-platform-cn-beijing.volces.com',
'volc_region': 'cn-beijing',
'volc_access_key_id': os.environ.get('VOLC_API_KEY'),
'volc_secret_access_key': os.environ.get('VOLC_SECRET_KEY'),
'endpoint_id': os.environ.get('VOLC_MODEL_ENDPOINT_ID'),
'base_model_name': 'Skylark2-pro-4k',
"api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com",
"volc_region": "cn-beijing",
"volc_access_key_id": os.environ.get("VOLC_API_KEY"),
"volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"),
"endpoint_id": os.environ.get("VOLC_MODEL_ENDPOINT_ID"),
"base_model_name": "Skylark2-pro-4k",
},
prompt_messages=[
UserPromptMessage(
content='Hello World!'
)
],
tools=[]
prompt_messages=[UserPromptMessage(content="Hello World!")],
tools=[],
)
assert isinstance(response, int)